• Title/Summary/Keyword: Plant diseases

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Research on Ginseng Diseases in Korea (인삼 병 연구의 과거와 현재)

  • 유연현;오승환
    • Journal of Ginseng Research
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    • v.17 no.1
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    • pp.61-68
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    • 1993
  • From the early 1,100 to 1,900, ginseng cultivation seemed to be practiced with management of the diseases which were, in general, referred to a "disaster" at that time. Farmers had individually developed their own methods to manage the disaster with a try and error from generations to generations. It was not determined until 1909, however, that plant pathogens as a new concept was involved in the disaster and thirteen ginseng diseases were reported in Korea by Japanese plant pathologists. The intensive researches have been carried out from 1978 when Korea Ginseng and Tobacco Research Institute was established. Among the ginseng diseases reported in ginseng growing countries, Altemaria Panax, Eotrytis sp., Cylindrocarpon destmctans, Colletotrichum gloeosporioides, Erwinia carotovora subsp. carotovora, Pythium app. Phytophthora cactomm, Sclerotinia sp., Sclerotium rolfsii, and root rot caused by nitylenchus destructor have been observed in Korea and the appropriate control methods for the major diseases were developed. However, the other nine diseases reported by former researchers have not been confirmed for their pathogenicities and/or occurrences on ginseng yetinseng yet.

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Double membrane-bound particles associated with eriophyid mite-borne plant diseases of unknown etiology : a potentially new group of plant viruses\ulcorner

  • Ahn, Kyung-Ku;Kim, Kyung-Soo
    • Proceedings of the Korean Society of Plant Pathology Conference
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    • 1997.06a
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    • pp.5-21
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    • 1997
  • Unique virus-like particles were associated with five eriophyid mite-borne plant diseases of unknown etiology; fig mosaic, redbud yellow ringspot, rose orsette, thistle mosaic, and high plains disease of corn and wheat. Quasi-spherical, double membrane-bound particles (DMPs), 120 - 200 nm in diameter, were observed in the cytoplasm of all cell types in symptomatic leaves of infected plants. No DMPs were observed in symptomless plants. The DMPs in symptomatic thistles were associated with two types of inclusions, electron-dense amorphous material and tubular aggregates. Similar amorphous inclusions were also found in corn and wheat with high plains disease, while tubular inclusions were observed in figs with mosaic symptoms. The particles and inclusions were similar in some aspects to immature particles associated with viroplasms of animal and insect poxviruses and also to the double-enveloped particles of tomato spotted wilt virus associated with viroplasms during early stages of infection, but were unique and unlike any known plant viruses. The DMPs and associated viroplasm-like inclusions in the high plains disease were specifically immunogold labeled in situ with the disease-specific antiserum. Thread-like structures, similar to tenuivirus particles, present in the partially purified virus preparations were also immunogold labeled with the antiserum. It is suggested that the thread-like structures are derived from the DMP. In many cells of symptomatic corn and wheat samples, DMPs occurred together with flexuous rod-shaped particles and cylindrical inclusions of wheat streak mosaic potyvirus (WSMV), suggesting that the disease is caused by a mixed infection of WSMV and the agent represented by the DMPs. Based on cytopathology, symptomatology and mite and/or graft-transmissibility, the five diseases described in this paper are potentially caused by virus(es) and the DMPs associated with these diseases may represent virus particles. If the DMPs are indeed viral in nature, they would comprise a new group of plant viruses.

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Effects of plant-derived natural products on inflammatory bone destructive disease

  • Ko, Seon-Yle
    • International Journal of Oral Biology
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    • v.44 no.4
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    • pp.130-143
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    • 2019
  • Rheumatoid arthritis, osteoarthritis, and periodontal disease are bone destructive diseases mainly caused by inflammation. Various studies are being conducted to develop treatments for inflammatory bone destructive diseases. Many of these studies involve plant-derived natural compounds. In these studies, cell differentiation, signal transduction pathways, and bone resorption were measured at the cellular level. In disease-induced animal models, the amount of inflammatory mediators or matrix destructive enzymes and serum metabolic markers were measured. This study examined the effects of plant-derived natural compounds, such as flavonoids, on inflammatory bone destructive diseases. In addition, we structurally classified various substances used to maintain bone health and summarized the biological effects and related mechanisms of the components.

New Fungal Diseases of Economic Resource Plants in Korea (VI) (유용 자원식물의 진균성 신병해(VI))

  • 신현동
    • Korean Journal Plant Pathology
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    • v.14 no.5
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    • pp.473-483
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    • 1998
  • This paper is the sixth report about the fungal diseases of economic resource plants observed newly in Korea. It contains short descriptions on symptoms, occurrence conditions, pathogens, and some phytopathological notes for each of 10 fungal plant diseases. They are identified as circular leaf spot of Ligustrum ovalifolium by Cercospora adusta, leaf spot of Viola spp. by c. violae, leaf spot of Trifolium repens by C. zebrina, hypophyllous leaf sot of Angelica gigas by Passalora depressa, brown leaf spot of Euonymus japonicus by Pseudocercospora destructiva, brown leaf spot of Lonicera japonica by P. lonicericola, brown leaf spot of Parthenocissus tricuspidata by P. vitis, black spot of Echinops latifolius by Ramularia cynarae, leaf spot of Petasites japonicus by R. major, and leaf spot of Plantagoasiactica by R. plantaginis, respectively.

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Viral Diseases of Woody Plants in Korea (한국에서 발생한 목본식물의 바이러스병)

  • Lee, Sang Yong
    • Journal of Forest and Environmental Science
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    • v.20 no.1
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    • pp.1-10
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    • 2004
  • New plant viral diseases are being reported every year. However, most of the plant viruses are found on nonwoody plants, such as cereals, vegetables and flowering plants, and relatively few are known on woody trees. On the other hand, 17 viruses have been reported on 11 species of woody plants in Korea, so far. Most of the viral diseases of woody plants are have been reported on fruit trees or ornamental trees. The reason is that the fruit trees or ornamental trees is more important than forest trees in economical aspects. Since many known plant viruses attack several species of nonwoody and woody plants, it is likely that a larger number of viral diseases of woody plants will be discovered as more research is conducted. This paper is an overview about the viral diseases of woody plants reported in Korea.

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Research on Tobacco Plant Diseases in Korea : An Overview (우리 나라 담배 병 연구의 어제와 오늘)

  • Kim, Jung-Hwa
    • Research in Plant Disease
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    • v.8 no.2
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    • pp.78-83
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    • 2002
  • Tobacco diseases have not been recorded until 1900s in Korea, where tobacco plants were introduced at early 1700s. Practical researches on the disease have been conducted since mid 1960s. Major ten tobacco diseases were mosaic caused by tobacco mosaic virus·potato virus Y·cucumber mosaic virus, bacterial wilt, hollow stalk, wild fire caused by angular leaf spot strain, black shank, brown spot, powdery mildew and fusarium wilt. But their annual occurrences were varied according to changes of tobacco varieties and their cultivating practices. As no useful chemicals, several biological tactics have been developed to control the viral or bacterial diseases that give significant economic damages on sustainable crop yield, but not practicable to field farming condition yet. Transgenic tobacco plants containing foreign disease resistant genes have been developed by current bio-technology, but not released to farmers yet. Though some disease-resistant tobacco varieties have been developed by the conventional breeding technology and currently used by farmers, their disease controlling efficacy have been diminished by occurrence of the new strain or race. Future research on tobacco diseases has been focused on technical development to produce high quality tobacco with less production cost, which leads Korean tobacco industry to keep its competence against foreign industry and decreasing overall market.

Diagnosis and Integrated Management of Major Fungal Fruit Rots on Kiwifruit in Korea

  • Kim, Gyoung Hee;Koh, Young Jin
    • Research in Plant Disease
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    • v.24 no.2
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    • pp.113-122
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    • 2018
  • Ripe rot, Botrytis storage rot and Sclerotinia rot are major fungal diseases that lead to deterioration of fruit quality in Korea. Ripe rot, which is caused by Botryosphaeria dothidea, affects harvested fruits during post-storage ripening, while Botrytis storage rot, caused by Botrytis cinerea, affects harvested fruits during cold storage, and Sclerotinia rot, caused by Sclerotinia sclerotiorum, mainly affects immature fruits on the trees. Major fungal fruit rots tend to affect yellow- and red-fleshed cultivars of kiwifruit more severely because of the sharp increase in their cultivation acreage in recent years in Korea. In this review, we summarize symptoms and epidemiological characteristics of the major fungal fruit rots and propose integrated management methods of the diseases that can be practically utilized at the farmers' orchards in order to prevent the diseases based on our research works and field experiences and the research works of others conducted during the last three decades worldwide.

Improvement of Wuyiencin Biosynthesis in Streptomyces wuyiensis CK-15 by Identification of a Key Regulator, WysR

  • Liu, Yanyan;Ryu, Hojin;Ge, Beibei;Pan, Guohui;Sun, Lei;Park, Kyungseok;Zhang, Kecheng
    • Journal of Microbiology and Biotechnology
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    • v.24 no.12
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    • pp.1644-1653
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    • 2014
  • Wuyiencin is produced by Streptomyces ahygroscopicus var. wuyiensis CK-15 and is widely used as an antifungal agent in agriculture. Analysis of wuyiencin biosynthetic gene clusters reveals wysR, a member of the LAL-family of transcriptional regulatory genes. WysR consists of an N-terminal PAS domain and a LuxR family C-terminal helix-turn-helix motif. However, the roles of wysR in wuyiencin biosynthesis are largely unknown. In this study, we showed that inactivation of wysR resulted in the complete loss of wuyiencin production, which could be restored by complementation with a single copy of wysR. Furthermore, we successfully increased wuyiencin production to a significantly higher level by overexpression of wysR in S. wuyiensis CK-15. Quantitative real-time RT-PCR analysis showed that WysR regulates wuyiencin biosynthesis by modulating other putative regulatory genes. Thus, WysR was identified as an activator of wuyiencin biosynthesis, and overexpression of wysR gene proved to be an effective strategy for improving wuyiencin production.

Deep Learning Methods for Recognition of Orchard Crops' Diseases

  • Sabitov, Baratbek;Biibsunova, Saltanat;Kashkaroeva, Altyn;Biibosunov, Bolotbek
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.257-261
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    • 2022
  • Diseases of agricultural plants in recent years have spread greatly across the regions of the Kyrgyz Republic and pose a serious threat to the yield of many crops. The consequences of it can greatly affect the food security for an entire country. Due to force majeure, abnormal cases in climatic conditions, the annual incomes of many farmers and agricultural producers can be destroyed locally. Along with this, the rapid detection of plant diseases also remains difficult in many parts of the regions due to the lack of necessary infrastructure. In this case, it is possible to pave the way for the diagnosis of diseases with the help of the latest achievements due to the possibilities of feedback from the farmer - developer in the formation and updating of the database of sick and healthy plants with the help of advances in computer vision, developing on the basis of machine and deep learning. Currently, model training is increasingly used already on publicly available datasets, i.e. it has become popular to build new models already on trained models. The latter is called as transfer training and is developing very quickly. Using a publicly available data set from PlantVillage, which consists of 54,306 or NewPlantVillage with a data volumed with 87,356 images of sick and healthy plant leaves collected under controlled conditions, it is possible to build a deep convolutional neural network to identify 14 types of crops and 26 diseases. At the same time, the trained model can achieve an accuracy of more than 99% on a specially selected test set.